English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Determination of major specialization is important to lead the student tofocus on areas of study that are of interest as well as in accordance with itsacademic credentials. Currently, the determination of major specialization isdone by asking directly to students, regardless of academic outcomes that havebeen achieved in the previo us semester. This study discusses the developmentof a hybrid model from fuzzy Mamdani and C4.5 algorithm to analyze thedetermination of major specialization in informatics engineering courses ofUniversities Raya Serang, where C4.5 algorithm is used as a shaper rule (rule)which is used in the inference stage. Establishment of rules (decision tree)performed using Weka applications, while for the determination of the decisionsupport analysis specialization majors using Mamdani fuzzy concept, theapplication is done using the help of MATLAB. The results showed that 17 of the126 students who either choose according to variable concentrations used inthis study.

Implementation Of Fuzzy-C4.5 Classification As a Decision Support For Students Choice Of Major Specialization